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An algebraic and bayesian technology for object recognition
Daniel Keren
, B. Cooper David
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Keyphrases
Object Recognition
100%
Recognizer
100%
Bayesian Technology
100%
Two Dimensional
50%
Three-dimensional (3D)
50%
Implicit Polynomial
50%
Low Computational Complexity
50%
Statistical Methods
25%
Highly Sensitive
25%
Recognition-based
25%
Image Plane
25%
Small Changes
25%
Linear Transformation
25%
Range Data
25%
Partial Occlusion
25%
Algebraic Invariants
25%
Polynomial Coefficients
25%
Algebraic Curves
25%
Algebraic Surfaces
25%
Algebraic Function
25%
Curve Data
25%
Zero Set
25%
Free Object
25%
Matching Vectors
25%
Superquadrics
25%
Quadrics
25%
Function Method
25%
Object Boundary
25%
Engineering
Recognizer
100%
Object Recognition
100%
Two Dimensional
50%
Computational Cost
50%
Image Plane
25%
Linear Transformation
25%
Partial Occlusion
25%
Object Boundary
25%
Algebraic Function
25%
Dimensional Range
25%
Mathematics
Polynomial
100%
Bayesian
100%
Computational Cost
28%
Statistical Method
14%
Linear Transformation
14%
Algebraic Function
14%
Algebraic Surface
14%
Algebraic Curve
14%
Image Plane
14%
Free-Form
14%
Zero Set
14%
Computer Science
Object Recognition
100%
Recognizer
100%
Computational Cost
50%
Linear Transformation
25%
Object Boundary
25%
Implicit Degree
25%